The researchers suggest that a pervasive design perspective is driving the development of AI with increasingly human-like features. While this may be appealing in some contexts, it can also be problematic, particularly when it is unclear who you are communicating with. Ivarsson questions whether AI should have such human-like voices, as they create a sense of intimacy and lead people to form impressions based on the voice alone.

In the case of the would-be fraudster calling the “older man,” the scam is only exposed after a long time, which Lindwall and Ivarsson attribute to the believability of the human voice and the assumption that the confused behavior is due to age. Once an AI has a voice, we infer attributes such as gender, age, and socio-economic background, making it harder to identify that we are interacting with a computer.

The researchers propose creating AI with well-functioning and eloquent voices that are still clearly synthetic, increasing transparency.

At its I/O developer conference, the search giant needs to rethink its AI strategy if it wants to catch Microsoft. The missing element? Experimentation.

Google has had a rough six months. Since ChatGPT launched last November — followed by the new Bing in February and GPT-4 in March — the company has failed to establish its AI credentials. Its own offering, the “experimental” chatbot Bard, compares poorly to rivals, and insider reports have portrayed a company in panic and disarray. Today, at its annual I/O conference, the company needs to convince the public (and shareholders) that it has a meaningful response. But to do that, it needs a new playbook.

AI outputs are increasingly defining the cultural moment — just not Google’s.

With all the controversy surrounding AI art, I’m surprised that NVIDIA is so rarely discussed. Unlike other AI art technologies, NVIDIA facilitates drawing landscapes in an interactive fashion. You sketch out rough blobs and then the AI converts your shapes into rocks, grasses, dirt, trees, and other selectable material types. I think that this kind of tool deserves much more attention since it empowers human artists to create with AI as a partner and gives us more creative control over the final result. Sure, NVIDIA itself is somewhat limited, but the principle of it is very compelling and I can easily envision people developing lots of improved versions that can draw more than just landscapes. I think it is surprising that this kind of approach has not caught on, but perhaps there are economic reasons that I’m not aware of which explain the relative lack of interactive AI art tools.

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